Examining the Influence of Seasonality, Condition, and Species Composition on Mangrove Leaf Pigment Contents and Laboratory Based Spectroscopy Data

Flores‐de‐Santiago, Francisco; Kovacs, John M.; Wang, Jinfei; Flores-Verdugo, Francisco; Zhang, Chunhua; González‐Farías, F.

doi:10.3390/rs8030226

Cited by 26 publications

(27 citation statements)

References 69 publications

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“…Flores-de-Santiago et al [15] analyzed the relationship between leaf reflectance and pigments, chlorophylls and carotenoid, in three mangrove species in order to assess their health condition. 360 leaves collected from a semi-arid forest of the Mexican Pacific showed the highest maximum correlations at green and red-edge bands for chl-a and chl-b.…”

Section: Highlights Of Research Articlesmentioning

confidence: 99%

Preface: Remote Sensing in Coastal Environments

Mishra

Gould

2016

Remote Sensing

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Abstract:The Special Issue (SI) on "Remote Sensing in Coastal Environments" presents a wide range of articles focusing on a variety of remote sensing models and techniques to address coastal issues and processes ranging for wetlands and water quality to coral reefs and kelp habitats. The SI is comprised of twenty-one papers, covering a broad range of research topics that employ remote sensing imagery, models, and techniques to monitor water quality, vegetation, habitat suitability, and geomorphology in the coastal zone. This preface provides a brief summary of each article published in the SI.Keywords: barrier island; sea turtle habitat; mangroves; Sahara Desert coast; kelp; spartina biomass; bathymetry; mangrove distribution; Brazilian Coast; hypoxia; Louisiana Shelf; UAV; harmful algal blooms; Yellow Sea; Po River delta; Venice Lagoon; suspended sediment dynamics; geostationary ocean color imager; mangrove leaf pigment; semi-analytical algorithm; seagrass biomass; shoreline change; northern Java Island; sun glint removal; bottom reflectance; coral reefs; coastal marsh; belowground biomass; root:shoot Overview and ScopeCoastal ecosystems are regions of remarkable primary and secondary productivity, biodiversity, and high accessibility. Apart from supporting numerous physical and biological processes, they also act as recreational, leisure, and tourism centers. Encompassing a broad range of habitat types and harboring a wealth of species and genetic diversity, coastal ecosystems perform numerous vital ecosystem functions. In addition to serving as nursery grounds for many birds and aquatic organisms, coastal ecosystems play roles in regulating global hydrology and climate; the biological, physical, and chemical modifications of the water column, sediment, and submerged and emergent vegetation; the storage and cycling of nutrients; the filtration of pollutants from inland freshwater systems; and the protection of shorelines from erosion and storms. Consequently, there is a need for accurate, cost effective, frequent, and synoptic methods of characterizing and monitoring these complex ecosystems.Remote sensing from in situ, airborne, and space-borne platforms can help satisfy the aforementioned criteria and can provide synoptic coverage over a range of spatial resolutions (coarse to fine), at regular temporal frequencies, to facilitate monitoring of coastal environments. This Special Issue on "Remote Sensing in Coastal Environments" is specifically aimed at addressing challenges related to assessing, quantifying, and monitoring near-shore shallow marine and open ocean processes, ecosystem productivity and biodiversity, interrelationships between vegetation and water quality, integrating remote sensing into coupled coastal biophysical forecast models, physical/biological interactions, hyperspectral applications, geomorphological changes, coastal hypoxia, and the use of LiDAR and unmanned aerial vehicles. The response to the Special Issue call was excellent, and following an extensive peer-review process, twenty-one...

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Section: Highlights Of Research Articlesmentioning

confidence: 99%

Preface: Remote Sensing in Coastal Environments

Mishra

Gould

2016

Remote Sensing

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“…After applying analysis of variance to hyperspectral data collected from mangrove leaves under laboratory conditions, Vaiphasa et al identified sixteen mangrove species [22]. The chlorophyll content has also been used to indicate how oil pollution and seasonal stress to mangroves [23,24]. Flores-de-Santiago estimated the chlorophyll content in mangroves in different seasons from hyperspectral data to determine the optimal time for monitoring [25].…”

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“…Curran obtained the optimal red-edge band for estimating the chlorophyll content by establishing a relationship between the red-edge position and reflectivity at different wavelengths [38]. Flores-de-Santiago and Zhang et al suggested that wavebands at the red edge position were the best predictors of the pigment contents [24,39].Hyperspectral remote sensing has been used successfully to monitor the restoration of ecosystems; for example, vegetation abundance and vegetation succession inversion during restoration [9,40,41], and inverted vegetation physicochemical indexes [31,35,42]. Further, previous studies have mostly concentrated on farmland economic crops and there have been few studies of coastal wetland plants [43].…”

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confidence: 99%

“…Further, previous studies have mostly concentrated on farmland economic crops and there have been few studies of coastal wetland plants [43]. Some researchers have used the red edge to study the chlorophyll content of mangroves [24,39,44], but few have used the full-wave-band spectrum as the variable parameter.…”

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Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China

Dou

Cui

et al. 2018

Sustainability

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The chlorophyll content can indicate the general health of vegetation, and can be estimated from hyperspectral data. The aim of this study is to estimate the chlorophyll content of mangroves at different stages of restoration in a coastal wetland in Quanzhou, China, using proximal hyperspectral remote sensing techniques. We determine the hyperspectral reflectance of leaves from two mangrove species, Kandelia candel and Aegiceras corniculatum, from short-term and long-term restoration areas with a portable spectroradiometer. We also measure the leaf chlorophyll content (SPAD value). We use partial-least-squares stepwise regression to determine the relationships between the spectral reflectance and the chlorophyll content of the leaves, and establish two models, a full-wave-band spectrum model and a red-edge position regression model, to estimate the chlorophyll content of the mangroves. The coefficients of determination for the red-edge position model and the full-wave-band model exceed 0.72 and 0.82, respectively. The inverted chlorophyll contents are estimated more accurately for the long-term restoration mangroves than for the short-term restoration mangroves. Our results indicate that hyperspectral data can be used to estimate the chlorophyll content of mangroves at different stages of restoration, and could possibly be adapted to estimate biochemical constituents in leaves.2 of 15 expected to reach 70,000 hm 2 by 2020 [4]. The chlorophyll content is an indicator of vegetation stress and can be used as a basis for estimating other biochemical parameters [5] and should be measured when monitoring, restoring and managing coastal wetland ecosystems. As such, it would therefore be useful if there were methods that resource managers could use to monitor the chlorophyll content of mangroves from hyperspectral data [6][7][8][9].Mangroves adapt to high-salt habitats using a range of physiological, biochemical, and morphological mechanisms. It is generally accepted that mangroves fall into two types, namely salt-secreting species with salt glands and salt-excluding species without salt glands [10,11]. Aegiceras plants have salt glands that secrete Na and Cl through their leaves to maintain the salt balance while Kandelia plants are known as salt-rejecting mangrove species that isolate the matrix from salt water mainly through high negative pressure in the xylem [12,13]. The mechanisms used by mangroves are unique within the plant kingdom, and the two different survival modes of mangroves have led to some differences between the leaves of the two mangrove species. The growth and physiological metabolism of mangroves are distinctive during different stages of restoration [14,15]. To date, hyperspectral data have not been used to compare the growth of these two mangrove species at different stages of restoration; instead, remote sensing has been used frequently to classify mangrove species and estimate biomass [16][17][18][19][20]. For example, Jia et al. mapped the Maipu mangrove species using hyperspectral data from the...

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Avicennia germinans leaf traits in degraded, restored, and natural mangrove ecosystems of Guyana

Dookie,

Jaikishun,

Ansari

2023

Plant Enviro Interactions

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Mangrove leaves have unique features that enable them to cope with shifting environmental conditions while preserving their general functionality and efficiency. We examined the morphological characteristics and chlorophyll content (spectroscopically) of 600 mature Avicennia germinans leaves selected from 30 trees located in one degraded, one restored, and one natural mangrove ecosystem along Guyana's coastline. Systematic sampling was carried out using the closest individual sampling method in the wet and dry seasons. We hypothesized that both habitat type and seasonality influence the leaf traits and chlorophyll content of A. germinans. Our findings showed that A. germinans leaves are mesophyllous, and traits such as leaf perimeter, area, length, width, dry mass, wet mass, turgid mass, leaf‐specific area, and relative water content showed fluctuations in ecosystems (one‐way ANOVA, p < .05) as well as seasonally (paired t‐test, p < .05). Substantial, positive correlations (p < .05, R > .75) were also established for over 10 leaf parameters in both seasons while PCA and multiple regression analyses further confirmed the strong relationships between leaf morphological features and their respective locations. Changes in chlorophyll concentration were most noticeable in the degraded ecosystem while variations in leaf traits were more pronounced in the restored mangrove area. This may be due to the various disturbances found in each ecosystem coupled with fluctuations in the seasons. Our results demonstrate that mangroves, to some extent, alter their plant structures to cope with environmental stressors present in the various ecosystems they thrive in to maintain their survival.

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Examining the Influence of Seasonality, Condition, and Species Composition on Mangrove Leaf Pigment Contents and Laboratory Based Spectroscopy Data

Cited by 26 publications

References 69 publications

Preface: Remote Sensing in Coastal Environments

Preface: Remote Sensing in Coastal Environments

Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China

Avicennia germinans leaf traits in degraded, restored, and natural mangrove ecosystems of Guyana

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